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emagine is a high-end business & IT consulting company challenging the way businesses leverage high-end expertise.Enabled by our vast network of expert consultants, we tailor our services to the unique needs of each business, powering progress, solving challenges, and delivering real results.As the world evolves, scalability becomes increasingly important in modern, technology-driven organizations. And it is around this critical need that emagine stands out with a unique business model and delivery capacity.With emagine, companies gain the flexibility needed to navigate and succeed in a complex and ever-changing technological landscape. Through a seamless and tailored delivery model, we help you scale your business.We help organizations across all industries and sectors; these are our services:• Team extension: Scale with dedicated consultants on time & material• Nearshoring as a Service: Leverage a fully scalable development department in Poland • Teams: Power up with a dedicated team to help you build, develop and execute your projects• Managed Services: Let us tailor and manage your projects, delivering on your specific requirements and needsemagine was founded in 1989 and has a long track record of delivering expertise and business impact for blue-chip companies across Europe.Today, we are 400+ permanent employees working from departments in 10 countries. Furthermore, we own three state-of-the-art nearshore centres in Poland and one offshore centre in India.With 40.000 experts in our network and 4500+ partnered consultants on active contracts, we currently help our 500+ clients worldwide with high-end expertise.
Emagine is seeking a seasoned NLP Data Scientist to join our team. The ideal candidate will possess a strong background in developing machine learning systems and a solid understanding of the retail banking sector. This role emphasizes innovation, as you will work on Generative AI solutions aimed at enhancing customer due diligence reviews. Essential attributes include adaptability, analytical thinking, and effective communication skills.
Main Responsibilities
You will be responsible for creating and deploying generative AI solutions to optimize the CDD (Customer Due Diligence) review process.
Develop a risk summarization feature for CDD reviews.
Collaborate with cross-functional teams to implement AI models.
Contribute to the development of analytics platforms and data products.
Utilize advanced machine learning techniques to deliver actionable insights.
Engage in prompt engineering and proficiency with LLM applications.
Provide technical expertise and optimize production workflows.
Participate in code reviews and maintain best practices in MLOps.
Document processes and outcomes for transparency and reproducibility.
Key Requirements
8+ years of experience as a data engineer or software developer.
4+ years in developing and deploying machine learning systems.
Domain expertise in retail banking, wholesale banking, or technology.
Experience in prompt engineering, Agentic AI, and LLMs.
Strong programming skills in Python.
Familiarity with MLOps architecture and practices.
Proficiency with public cloud platforms, especially GCP.
Knowledge of CI/CD processes and tooling.
Excellent verbal and written communication skills in English.
Eligible to work within the EU region with a valid work permit.
Nice to Have
Experience with Java, Scala, or Go.
Familiarity with AWS cloud services.
Experience with Kubernetes.
Expertise in Apache Airflow.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.